 This study assessed the accuracy of cladonia classification using both UAV and satellite sensors in a rocky Canadian shield landscape near Yellowknife, North-West Territories. The results showed that random forest classifications derived from Microsense Altum had an average 5% higher accuracy for mapping cladonia than when using a conventional colour RGB camera. Worldview models at 6M resolution outperformed planet models with an average relative IMSE of 6.8% and 9.9% respectively. However, the small cover of cladonia in the study area resulted in a high relative IMSE expressed as a proportion of mean lichen cover. This article was authored by Robert H. Fraser, Darren Pouliot, and Jurgen van der Sluits.